temporalio.contrib.google_adk_agents.TemporalModel

class documentation

class TemporalModel(BaseLlm): (source)

A Temporal-based LLM model that executes model invocations as activities.

Method	`__init__`	Initialize the TemporalModel.
Async Method	`generate_content_async`	Generate content asynchronously by executing model invocation as a Temporal activity.
Instance Variable	`_activity_config`	Undocumented
Instance Variable	`_model_name`	Undocumented
Instance Variable	`_summary_fn`	Undocumented

def __init__(self, model_name: str, activity_config: ActivityConfig | None = None, *, summary_fn: Callable[[LlmRequest], str | None] | None = None): (source) ¶

Initialize the TemporalModel.

Parameters
model_name:`str`	The name of the model to use.
activity_config:`ActivityConfig \| None`	Configuration options for the activity execution.
summary_fn:`Callable[[LlmRequest], str \| None] \| None`	Optional callable that receives the LlmRequest and returns a summary string (or None) for the activity. Must be deterministic as it is called during workflow execution. If the callable raises, the exception will propagate and fail the workflow task.

Raises
`ValueError`	If both `ActivityConfig["summary"]` and `summary_fn` are set.

async def generate_content_async(self, llm_request: LlmRequest, stream: bool = False) -> AsyncGenerator[LlmResponse, None]: (source) ¶

Generate content asynchronously by executing model invocation as a Temporal activity.

Parameters
llm_request:`LlmRequest`	The LLM request containing model parameters and content.
stream:`bool`	Whether to stream the response (currently ignored).

Returns
`AsyncGenerator[LlmResponse, None]`	Undocumented

Yields
The responses from the model.

Undocumented

Undocumented

Undocumented